About PGCM (DSFM) Programme
Data has emerged as a new functional requirement in modern-age decision making. All organizations treat data as an input to arrive at any decision-making pertaining to their products and services. The Post Graduate Certificate in Management (Data Science in Financial Markets), offered by the National Institute of Securities Markets, is a premier programme which provides the blended knowledge of modern finance and its various application in collaboration with data processing techniques and tools to make, alter, various financial products, to make them more suitable for each class of investors. It offers a unique opportunity to learn and make use of the available financial data to make informed business decisions, keeping in mind the profitability and customer satisfaction. PGCM (DSFM) is a 14-month regular weekend programme, hosted at NISM’s facility in Bandra Kurla Complex, Mumbai, and is approved by the All India Council of Technical Education.
For Whom?
PGCM (DSFM) is ideal for Individuals with a passion for financial markets and keenness to acquire in-depth understanding of data mining techniques and financial analytics, to offer and innovate new-age financial products. The programme is suitable for both working professionals and fresh graduates.
Graduates from various disciplines, such as Commerce & Accounting, Management, Economics, Law, Mathematics, Statistics, Engineering, etc. will develop their analytical capabilities for financial markets.
What do I learn?
PGCM (DSFM) will enable professionals to undertake data mining with powerful tools to find trends and answer questions for businesses, researchers, non-profit organizations, academic institutions, and governments. The key takeaways from the programme are as follows:
- The programme will equip professionals with necessary financial knowledge and data mining skills to mould and design better and cost-efficient financial products, creation of efficient risk management system and systematic analysis of available financial information to make informed management decisions.
- The programme will provide a platform to its participants to learn the intricacies of Finance and modern age Data Science tools to develop the ability to support their decisions through analytic reasoning using variety of statistical and mathematical techniques.
- The curriculum covers topics such as Financial Products and Institutions, Programming language for Financial applications, Data Mining, Machine Learning, Algorithmic Trading, Big Data Processing and Visualization and combines academic elegance and business relevance to facilitate the participants to learn modalities of various financial products, followed by analytical techniques and weaves them with applications for data-based decision making.
- Dissemination of knowledge of various financial products to create level playing field between finance and non-finance professionals.
- An integral part of the learning experience is the use of Data Science and Analytics tools wherein the participants get hands-on exposure to R, Tableau, and Python.
- Lectures and hands-on sessions will be conducted by eminent faculty, industry leaders and experts.
Where does PGCM (DSFM) lead to?
PGCM (DSFM) could lead to the following job profiles, which involves the fusion of data science techniques and financial analytics:
- Credit Research and Ratings
- Investment Evaluation and Portfolio Management
- Risk Modelling
- Claim Processing
- Fraud Detection
- Analysing Financial Statements
- Equity Research
Programme Architecture
PGCM (DSFM) comprises of five trimesters having 16 courses and project / internship carrying a total of 45 credits. The curriculum is designed to provide research-based inputs and industry insights through a team of academicians and market experts. The detailed curriculum is as follows:
| Subject Code | Trimester I | Hours | Credits |
|---|---|---|---|
| 101 | Mathematics | 30 | 3 |
| 102 | Statistics | 30 | 3 |
| 103 | Computer Programming | 30 | 3 |
| Subject Code | Trimester II | Hours | Credits |
| 201 | Financial Economics | 15 | 1.5 |
| 202 | Financial Institutions & Products | 15 | 1.5 |
| 203 | Advanced Computer Programming | 30 | 3 |
| 204 | Econometric and Time Series Analysis | 30 | 3 |
| Subject Code | Trimester III | Hours | Credits |
| 301 | Fixed Income | 15 | 1.5 |
| 302 | Financial Derivatives | 15 | 1.5 |
| 303 | Market Microstructure and Algorithmic Trading | 30 | 3 |
| 304 | Machine Learning and Deep Learning Models | 30 | 3 |
| Subject Code | Trimester IV | Hours | Credits |
| 401 | Applications of Data Science in Securities Markets, Insurance Markets and Banking (Credit Risk) | 15 | 1.5 |
| 402 | Financial Data and Management | 15 | 1.5 |
| 403 | Security Analysis and Portfolio Management | 30 | 3 |
| 404 | Big Data Processing and Visualization | 30 | 3 |
| Subject Code | Trimester V | Hours | Credits |
| 501 | Financial Analytics | 30 | 3 |
| 502 | Project/Internship | 6 | |
| Total Programme Credits | 45 | ||
The performance of participants is assessed on continuous evaluation process in each trimester. Evaluation is through quizzes, surprise tests, mid-term tests, end-term examinations, class participation, presentations, submissions, projects, etc., as may be indicated by the faculty members in the course outline. At the end of the programme, participants shall be awarded with Grades, subject-wise as well as the CGPA. The PGCM (DSFM) Certification will be awarded to successful candidates at a convocation ceremony.
Schedule
The programme will take place in class-room mode on weekends at NISM’s facility in the Bandra Kurla Complex, Mumbai. The class timings would be as follows:
| Day | Timings | Teaching Hours | Break Time |
| Saturday | 6 pm to 9:15 pm | 3 hours | 15 Minutes |
| Sunday | 10 am to 5 pm | 6 hours |
|
Note:
Note: The classes may begin in online format (webinar-mode), given the COVID-19 pandemic situation. After the improvement in COVID-19 pandemic situation, classes will be held only in class-room mode, and students have to attend classes in class room mode. No exemption will be given to anyone from attending classes. Prospective students of the program are requested to make a note of the same.
Hostel facility is available, at NISM Campus in Patalganga, for the benefit of participants from outside Mumbai.
Programme Fees
The consolidated programme fee for PGCM (DSFM) is Rs.2,10,000/- (Rupees Two lakh and Ten Thousand only). The break-up of the fees is as follows:
| Particulars | First Instalment (in Rs.) | Second Instalment (in Rs.) | Third Instalment (in Rs.) | Total(in Rs.) |
|---|---|---|---|---|
| Tuition fee | 50,000 | 65,000 | 68,000 | 1,88,000 |
| Exam fee | 5,000 | 5,000 | 10,000 | |
| Library Deposit* | 10,000 | – | 10,000 | |
| Alumni fund | 2,000 | – | 2,000 | |
| Total | 50,000 | 82,000 | 73,000 | 2,10,000 |
| Due Date | Within 7 calendar days from the issue of Offer Letter |
* Refundable
Hostel Facility
Once the classes start in physical mode, hostel facility will be made available for the benefit of participants from outside Mumbai, at NISM’s campus in Patalganga, at Rs. 13,350/- (Rupees Thirteen Thousand and Three Hundred and Fifty only) per month. The break-up for the hostel fees is as follows:
| Particulars | Amount (in Rs.) |
|---|---|
| Hostel Charges | 6,000 |
| Food Charges | 7,000 |
| GST on Food | 350 |
| Total charges per month | 13,350 |
In addition, participants (availing hostel facility) shall pay a refundable hostel deposit of Rs. 10,000/-
Fee Refund Policy
If an applicant requests to withdraw his/her admission, the Institute will refund the collected fees after deducting Rs. 1000/- towards processing fees and return the applicant’s certificates, if such withdrawal is made before the commencement of the programme, for whatever reasons, as per the procedures prescribed in various government guidelines. The last date for withdrawal of admissions for the purpose of refund of fees is 30th June, 2022.
If an applicant chooses to withdraw, the Institute will follow a three-tier system for a refund of fees, as follows:
| Sr. No | Percentage of Refund of Aggregate Fees | Point of time when notice of withdrawal of admission is served to the Institute |
|---|---|---|
| 1 | 100% less Rs.1,000/- | Before the commencement of the programme. |
| 2 | 100% less Rs. 10,000/- of full fee including refundable deposits | After commencement of the programme and the vacant seat is filled by another applicant from wait-list. |
| 3 | 0% except for refundable deposits | After commencement of the programme and the seat remained vacant. |
Admissions 2021
NISM is pleased to invite applications for admissions to Post Graduate Certificate in Management (Data Science in Financial Markets) 2022-23.
Eligibility
Graduates from any discipline with a minimum of 50% marks from a recognized University under 10+2+3 stream are eligible. Provisional admission will be granted to those in the final year of graduation and subject to confirmation of the aforesaid criterion.
Selection Criteria
Candidates will be selected based on their profile and their performance in the personal interview (online).
How to apply?
Candidates willing to apply should first register themselves on slims.nism.ac.in
Step 1: New Registration: Upon successful registration, a User-ID and Password will be sent to registered email ID and mobile number of the candidate.
Step 2: Application process: Thereafter, candidates are required to log-in and complete the application process by paying application fee. After making the payment of application fee of Rs. 500/- the candidates may submit their application.
Important Dates for PGCM(DSFM) 2022-23
| Particulars | Date |
|---|---|
| Start Date for Application | January 24, 2022 |
| Last Date for Application | June 01, 2022 |
| Date of commencement of interviews | June 16, 2022 |
| Declaration of 1st Merit List: | June 22, 2022 |
| Declaration of 2nd Merit List: | June 29, 2022 |
| Commencement of Program: | July 09, 2022 |
Admission related FAQs
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Dr. Jinesh Panchali
Professor - School for Securities Education (SSE)
Dr. Jinesh Panchali
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Name: Dr. Jinesh Panchali Designation: Professor - School for Securities Education (SSE) Email: Jinesh.panchali@nism.ac.in Dr. Jinesh has more than 30 years of experience in academics, consulting, and academic administration.
Jinesh is MBA with specialisation in Finance, Ph.D. in Management from Faculty of Management Studies (1994), The M.S. University of Baroda, and a CMA from Institute of Cost Accountants of India.
Before joining NISM, he managed an Advisory firm, Arham Advisors (2016-2021). It has undertaken assignments in domain of M&A, corporate valuation, Management Information Systems, etc.
He has served Indian Institute of Capital Markets, (IICM) (now merged with National Institute of Securities Markets (NISM), for more than a decade including serving as Dean (1995-2007). He has also served as Senior Vice President at Financial Technologies Group, and as Head of its Knowledge Management subsidiary (2007-2014).
He has published in area of corporate governance, ownership and performance, and M&As. He has taught full courses in area of Finance and Strategy, like, M&A, corporate finance, corporate valuation, and corporate restructuring at various IIMs and institutions of national repute.
He has worked on assignments with various Ministries of Government of India and its committees. He has conducted executive education programmes and consultancy assignments for domestic and global capital market regulators, in area of governance, valuation, venture capital, securities markets, and knowledge management frameworks.
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Dr. Pradiptarathi Panda
Assistant Professor - School for Securities Information and Research (SSIR)
Dr. Pradiptarathi Panda
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Name: Dr. Pradiptarathi Panda Designation: Assistant Professor - School for Securities Information and Research (SSIR) Email: pradiptarathi.panda@nism.ac.in Contact: 91-2192668419 Dr. Pradiptarathi Panda is Assistant Professor at the National Institute of Securities Markets (NISM), having a decade of experience in teaching and research. Prior to NISM, Dr. Panda was a research scholar at Indian Institute of Capital Markets (IICM-now merged with NISM). He holds a Master's in Finance & Control (MFC) from Berhampur University, an M.Phil. in Finance from Pondicherry Central University and Ph.D. in Finance from the University of Mumbai and has qualified UGC NET. His Ph.D. thesis “Stock Market Spillovers: Evidence from BRICS Countries” win the Best Doctoral Thesis Award by IIF International Conference and Award Summit 2021 organized by the Indian Institute of Finance.
His areas of research interests Include-International Capital Markets, Derivatives, Interest Rate Futures, Innovative financial instruments, and Financial Economics. His teaching interests are Financial Institutions and Markets (FIM), Applied Financial Econometrics, Financial Computing using R and Python, Research Methods and Data Analytics, Financial Derivatives, Global Financial Markets, Investment Management, and Trading in equity and equity derivatives.
He is a Guest Editor for Asia Pacific Financial Markets (an official journal of Japanese Association of Financial Econometrics and Engineering), and an editorial board member as well as a reviewer for a number of finance journals and World Finance Conferences.
He has published several research papers in indexed journals like ABDC, ABS, Scopus, Web of Science, SCI, along with others. Some of the journals Dr. Panda published his research papers are - Pacific-Basin Finance Journal, International Journal of Finance and Economics, Empirica, The Afro-Asian Journal of Finance and Accounting, Decision, Vision among others. He has presented research papers in a number of international and national conferences; has participated in several workshops and organised a number of Faculty Development Programmes (FDPs), Capital Market Conferences and Workshops.
Dr. Panda conducts market simulation sessions in the SMART Lab for education institutions and reputed cadre of Government of India including IAS, SEBI, RBI, IRS, IES, ICLS, Defence Officers, etc. He has also conducted programmes for officers from the Securities Exchange Commissions and Central Bankers from Cambodia, Laos, Myanmar, Vietnam, Bangladesh and ITEC programme officers.
He is the faculty Co-coordinator of the NISM Alumni Association and Capital Markets Conferences.
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Mr. M. Krishnamoorthy
Member of Faculty - School for Corporate Governance (SCG)
Mr. M. Krishnamoorthy
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Name: Mr. M. Krishnamoorthy Designation: Member of Faculty - School for Corporate Governance (SCG) Email: krishnamoorthy.m@nism.ac.in Contact: 91-2266735107 / 91-2192668377 Shri M Krishnamoorthy, an Officer of Securities and Exchange Board of India (SEBI) joined NISM as a Member of Faculty in September 2017. He is currently the Programme Director for the following School for Corporate Governance (SCG) and School for Regulatory Studies & Supervision (SRSS) of NISM. These Schools are playing a pioneer role in professionalization of Corporate Governance and Capacity Building of securities market participants through Workshops, Conferences and Publication of Research Papers.
Apart from the above, Shri Krishnamoorthy is the Programme Director for the part-time Course offered by NISM –Post Graduate Certificate in Management (Data Science in Financial Markets) – PGCM (DSFM).
He is currently teaching Macroeconomics, Securities Markets Regulations, Business Ethics & Corporate Governance at NISM. Apart from the above, he has been taking Sessions in the various training programmes being conducted by NISM for Regulators, Government officials, Market Intermediaries and Listed Companies, from India and outside. His area of academic interests include Corporate Governance, Behavioural Finance and Macroeconomics.
Shri Krishnamoorthy has been working with SEBI for the last 17 years in different Departments of SEBI, including the Integrated Surveillance Department, Corporate Finance Department, Market Intermediaries Regulation & Supervision Department, Officer of Chairman and Bangalore Office of SEBI.
Prior to joining SEBI, Shri Krishnamoorthy was working with Ministry of Law, Justice & Company Affairs, Government of India, for nearly six years.
Shri Krishnamoorthy has participated in various domestic and international Conferences including the APRC Mobile Seminary Training Program organized by IOSCO in Hong Kong. Shri Moorthy is Bachelor of Physics from Madurai Kamaraj University, Masters in Economics from Annamalai University and Masters in Financial Services Management from Mumbai University.
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Mr. Mohd. Meraj Inamdar
Lecturer - School for Securities Information and Research (SSIR)
Mr. Mohd. Meraj Inamdar
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Name: Mr. Mohd. Meraj Inamdar Designation: Lecturer - School for Securities Information and Research (SSIR) Email: Meraj.inamdar@nism.ac.in Contact: 91-2266734613 / 91-2192668420 Mr. Meraj Inamdar has a Master’s degree in Commerce from Marathwada University, Aurangabad, and UGC SET qualified. He is pursuing his PhD in the field of Corporate Governance and Sustainable Finance with the University of Mumbai. Mr. Inamdar is Lecturer at NISM.
Mr. Inamdar has three years of corporate experience and six years of teaching and research experience. He has started his career as finance manager at Nissan Motors India Pvt Ltd. He was a member of faculty at Institute of Cost accountant (ICAI), Aurangabad Chapter 2010-13. He was Associate editor of CSR Analyst, monthly magazine of UTI-IICM, Navi Mumbai. Before Joining NISM, Mr. Inamdar was Senior Project Associate at CSE, IIT-Bombay on various research projects related to open source learning and teaching pedagogy through Information Technology.
He has several publications and conference papers to his credit and has won the Outstanding Research Paper award at Mumbai University’s International Conference in February 2016. He has also reviewed research papers for “IIM-Bangalore Management Review” journal. He has research interest in Sustainable finance & ESG, Corporate Governance and SME Exchange.
At NISM, Mr. Inamdar teaches Statistics, using databases such as Bloomberg, Morningstar and CMIE Prowess through R and MS Excel. He plays a vital role in the NISM SMART Lab Trading sessions on Equity & Derivatives. At NISM he has successfully conducted various workshops on Equity & Derivative trading at SMART Lab for international delegates of Bangladesh, Nepal, Cambodia, Laos, Myanmar, Vietnam & Afghanistan, Practitioners in capital markets, Government officers IAS, IES, IRS, ICLS, RBI, FDPs for faculties and for post graduate students.
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Mr. Suneel Sarswat
Adjunct Faculty
Mr. Suneel Sarswat
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Name: Mr. Suneel Sarswat Designation: Adjunct Faculty Suneel Sarswat is an adjunct faculty at NISM. His current research area is applications of theoretical computer science in finance and regulations. He teaches advanced programming, machine learning, deep learning, computational finance, etc. He has more than 14 years of teaching experience. Before joining academics, he has worked for Bank of America as a research analyst for more than two years. He has conducted various workshops for working professionals in the area of compuatational finance and machine learning. He has trained officers from RBI, SEBI, Exchanges, Banks, and other financial institutions. He has presented his work in international conferences in theoretical computer science. Besides adjunct faculty at NISM, he is also a part-time consultant at Decimal Point Analytics.
He has completed his master’s degree in applied statistics from the Indian Institute of Technology, Mumbai in 2005. He also holds a master’s degree from Tata Institute of Fundamental Research (TIFR), Mumbai in theoretical computer science. Currently, he is completing his Ph.D. from TIFR in the area of applications of logic.
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Helpdesk: +91-08268002412
Email:pgcm@nism.ac.in